Hospitalization, Later Onset of the Disease, and Psychological Problems of Chronically Ill Children
Bibliographic record
Abstract
This study examined disease-related variables that are thought to play some role in exacerbating psychological problems among chronically ill children. The participants included 63 parents of children suffering from cancer, epilepsy, and asthma. The parents rated their children’s behavioral and emotional problems and provided information on the frequency of hospitalization, onset, and duration of the illness and the age of the child at the disease onset. The Child Behavior Checklist was used. Multiple-regression analysis and correlations were computed to determine the relationship of disease-related variables to the psychological problems of the children. One-way, between-subject ANOVA was used to analyze the psychological problems of children of different age groups. The results showed positive relationships between the frequency of hospitalization and the later onset of the illness and the psychological problems among children. It also showed that children in the age group of 7 to 11 years had the highest number of problems compared with other age groups. The psychological healing aspects of the family and the culture on the children’s illnesses in the collectivist societies have been discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".